Data & AI Engineering Professionals (Data Engineering, Analytics, AI/ML & Reliability Engineering)
India GCC-Puppalaguda Village Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at The Hartford. India GCC-Puppalaguda Village · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationIndia GCC-Puppalaguda Village
EmploymentFull-time
PostedSep 16, 2026 · 5w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build data pipelines with PySpark and Snowflake or Databricks, using ETL/ELT and cloud platforms
- Analyze data with SQL and Python, and manage relationships with stakeholders
- Support data reliability and platform operations across Snowflake, AWS, GCP, Hadoop or Informatica
- Develop AI and machine learning solutions, including generative and agentic systems, with Python
- Build reliability automation for cloud and AI/ML platforms using Python and Terraform
What you bring
- You have experience in a listed discipline, with role requirements ranging from two to twelve years
- You bring relevant skills such as SQL, Python, PySpark, Hadoop or machine learning, depending on the role
- For site reliability and AWS EMR roles, you have six to nine years of experience
Who this fits
This evergreen requisition covers several mid-level paths across data engineering, analytics, data reliability, AWS EMR, AI/ML, applied AI science and site reliability. Choose the path that matches your experience and its listed technologies.
From the employer
IND Evergreen Requisition - GCC141
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
- Data Engineer (2 to 12 Years) - Data Engineering, Pyspark, Snowflake/Databricks, ETL/ELT, GCP/AWS, RAG, Vertex AI
- Data Analyst (2 to 9 Years) - Data Analysis, SQL, Python, Stakeholder Management
- Data Reliability Engineer (2 to 9 Years) - Data Reliability, SRE, Snowflake, AWS/GCP, Informatica, Python/Pyspark, EMR/Hadoop
- AWS EMR Engineer (6 to 9 Years) - Bigdata Platforms, Hadoop. AWS EMR, Platform Administration, AWS Services
- AI/ML Engineer (2 to 12 Years) - AI/ML, Generative AI & Agentic AI Solutions, RAG, Python, FastAPI, GCP, Vertex AI
- Applied AI Scientist (2 to 12 Years) - Applied AI, Statistical Modelling, Machine Learning, Python, Scikit Learn, SQL, PyTorch, GCP, Vertex AI
- Site Reliability Engineer (6 to 9 Years) - SRE, Terraform, AWS/GCP, ML/AI Platforms, Python to build automation tools